A-Share Screen Using Moving Average Alignment and Trend

Summary

This A-share stock screen combines three stated conditions: at least five moving averages coincide, the opening price is near the 10-day average, and the 20-day average is above the 120-day average. The accompanying explanation treats clustered averages as a possible support or resistance area, proximity to the short average as a potential turning point, and the longer average relationship as evidence of an upward trend. These are screening rationales, not demonstrated outcomes.

The document includes illustrative selection logic, but its Python example does not calculate moving averages: it appends each closing price to every average series. It also omits the opening-price condition and the 20-day versus 120-day comparison, so that code does not implement the full screen. No historical test, returns, or risk measurements are provided. The text itself cautions that price and average-based selection excludes company finances and industry prospects, and suggests adding other analysis before making investment decisions.

Key ideas

• The proposed screen looks for clustered moving averages and an opening price near the 10-day average.
• It also requires the 20-day moving average to exceed the 120-day average.
• The text interprets average clustering as a possible support or resistance region, but supplies no evidence for that interpretation.
• The sample Python logic does not calculate moving averages or implement all of the stated conditions.
• The screen omits company fundamentals and industry conditions.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.